SupaKewber first-party research

CFOP stage percentages by skill level

Smart-cube stage timestamps turn a general training rule into an observed benchmark for distinct skill brackets.

SUPAKEWBER PRACTICE DATA

Research question

What percentage of a solve should Cross, F2L, OLL and PLL take?

The live dataset will publish a quantified answer automatically after it reaches at least 20 distinct users and 100 eligible observations.

Published results

Aggregate benchmark table

Every displayed cell has passed the public sample threshold. Empty tables are a deliberate “not enough evidence yet,” never a fabricated estimate.

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Definition

What this measures

Smart-cube stage timestamps turn a general training rule into an observed benchmark for distinct skill brackets.

Methodology

How it is calculated

Averages use mutually exclusive Cross, F2L, OLL and PLL durations divided by detected execution time. Users need at least 20 valid smart-cube solves before entering a skill bracket.

Inclusion rules

What enters the sample

  • Eligible SupaKewber observations with valid measurement fields.
  • Only aggregate cells above the stated privacy and stability threshold.

Exclusion rules

What is removed

  • Deleted, invalid or structurally inconsistent records.
  • Small cells that could be misleading or identify a narrow group.

Interpretation limit

What this dataset cannot prove

Stage percentage describes where time was spent; it does not identify whether the cause was recognition, turning, lookahead or a difficult scramble.

SupaKewber data describes people who use this platform; it is not automatically representative of every speedcuber. Definitions and thresholds stay attached to every JSON download so the number cannot be separated from its method.

Source separation

This is practice data, not an official competition result.

SupaKewber records browser practice and platform interactions. Official WCA results appear only on separately labeled WCA analysis pages with the required WCA attribution and export date.

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